The University of Southampton
University of Southampton Institutional Repository

Monitoring PSA levels as chemical state-variables in metal-oxide memristors

Monitoring PSA levels as chemical state-variables in metal-oxide memristors
Monitoring PSA levels as chemical state-variables in metal-oxide memristors
Medical interventions increasingly rely on biosensors that can provide reliable quantitative information. A longstanding bottleneck in realizing this, is various non-idealities that generate offsets and variable responses across sensors. Current mitigation strategies involve the calibration of sensors, performed in software or via auxiliary compensation circuitry thus constraining real-time operation and integration efforts. Here, we show that bio-functionalized metal-oxide memristors can be utilized for directly transducing biomarker concentration levels to discrete memory states. The introduced chemical state-variable is found to be dependent on the devices’ initial resistance, with its response to chemical stimuli being more pronounced for higher resistive states. We leverage this attribute along with memristors’ inherent state programmability for calibrating a biosensing array to render a homogeneous response across all cells. Finally, we demonstrate the application of this technology in detecting Prostate Specific Antigen in clinically relevant levels (ng/ml), paving the way towards applications in large multi-panel assays.
2045-2322
Tzouvadaki, Ioulia
a1025ec1-7606-453d-bc71-1f732a4c1f78
Stathopoulos, Spyros
98d12f06-ad01-4708-be19-a97282968ee6
Abbey, Thomas
64fcf5bd-e20e-4fb8-9ec4-391ad8a0a7a8
Michalas, Loukas
25d00d54-5900-485e-bd52-d3505fe881a7
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf
Tzouvadaki, Ioulia
a1025ec1-7606-453d-bc71-1f732a4c1f78
Stathopoulos, Spyros
98d12f06-ad01-4708-be19-a97282968ee6
Abbey, Thomas
64fcf5bd-e20e-4fb8-9ec4-391ad8a0a7a8
Michalas, Loukas
25d00d54-5900-485e-bd52-d3505fe881a7
Prodromakis, Themistoklis
d58c9c10-9d25-4d22-b155-06c8437acfbf

Tzouvadaki, Ioulia, Stathopoulos, Spyros, Abbey, Thomas, Michalas, Loukas and Prodromakis, Themistoklis (2020) Monitoring PSA levels as chemical state-variables in metal-oxide memristors. Scientific Reports, 10, [15281]. (doi:10.1038/s41598-020-71962-3).

Record type: Article

Abstract

Medical interventions increasingly rely on biosensors that can provide reliable quantitative information. A longstanding bottleneck in realizing this, is various non-idealities that generate offsets and variable responses across sensors. Current mitigation strategies involve the calibration of sensors, performed in software or via auxiliary compensation circuitry thus constraining real-time operation and integration efforts. Here, we show that bio-functionalized metal-oxide memristors can be utilized for directly transducing biomarker concentration levels to discrete memory states. The introduced chemical state-variable is found to be dependent on the devices’ initial resistance, with its response to chemical stimuli being more pronounced for higher resistive states. We leverage this attribute along with memristors’ inherent state programmability for calibrating a biosensing array to render a homogeneous response across all cells. Finally, we demonstrate the application of this technology in detecting Prostate Specific Antigen in clinically relevant levels (ng/ml), paving the way towards applications in large multi-panel assays.

Full text not available from this repository.

More information

Accepted/In Press date: 17 August 2020
e-pub ahead of print date: 17 September 2020

Identifiers

Local EPrints ID: 444831
URI: http://eprints.soton.ac.uk/id/eprint/444831
ISSN: 2045-2322
PURE UUID: aa2aacdd-d21d-4e24-b254-be1e14baeac1
ORCID for Spyros Stathopoulos: ORCID iD orcid.org/0000-0002-0833-6209
ORCID for Themistoklis Prodromakis: ORCID iD orcid.org/0000-0002-6267-6909

Catalogue record

Date deposited: 06 Nov 2020 17:30
Last modified: 18 Feb 2021 17:26

Export record

Altmetrics

Contributors

Author: Thomas Abbey
Author: Loukas Michalas

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×